hydromt_wflow.workflows.irrigation_from_vector#

hydromt_wflow.workflows.irrigation_from_vector(gdf_irrigation: ~geopandas.geodataframe.GeoDataFrame, ds_like: ~xarray.core.dataset.Dataset, cropland_class: ~typing.List[int], paddy_class: ~typing.List[int] = [], area_threshold: float = 0.6, lai_threshold: float = 0.2, logger=<Logger hydromt_wflow.workflows.demand (WARNING)>)[source]#

Prepare irrigation maps for paddy and non paddy from geodataframe.

Parameters:

  • gdf_irrigation (gpd.GeoDataFrame) – Shapefile with irrigation areas.

  • ds_like (xr.Dataset) –

    Dataset at wflow model domain and resolution.

    • Required variables: [‘wflow_landuse’, ‘LAI’]

  • irrigation_value (List[int]) – Values that indicate irrigation in gdf_irrigation.

  • cropland_class (List[int]) – Values that indicate cropland in landuse map.

  • paddy_class (List[int]) – Values that indicate paddy fields in landuse map.

  • area_threshold (float) – Threshold for the area of a pixel to be classified as irrigated (fraction of the cell covered).

  • lai_threshold (float) – Threshold for the LAI value to be classified as growing season.

Returns:

ds_irrigation – Dataset with paddy and non-paddy irrigation maps: [‘paddy_irrigation_areas’, ‘nonpaddy_irrigation_areas’, ‘paddy_irrigation_trigger’, ‘nonpaddy_irrigation_trigger’]

Return type:

xr.Dataset

See also

irrigation